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Data Science Tools User Guides
Overview
Data science is a field that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. It is a rapidly growing field with a wide range of applications, including business intelligence, healthcare, finance, and marketing.
The KAUST Visualization Core Lab (KVL) is hosting several hands-on workshops as part of ongoing efforts to build capacity in core data science skills at KAUST and in the Kingdom. We try to make all the material available on several channels like the ones you will find below
GitHub
Our GitHub repository contains code and data for various data science projects. For more material, you can also check the Kaust RCCL GitHub.
Confluence
Our Confluence page contains recipes and other resources for data scientists.
YouTube Videos
We have made several YouTube videos about data science. You can them here.
Data Science for Beginners
This video provides an overview of how to use the HPC clusters to start your data science projects. And this video will guide you to setup your Windows machine for data science.
Data Science Tools and Technologies
We have several tools to help you start your Data Science project at KAUST. KAUST Students, Faculties, Researchers & Staff,You can access JupyterHub as well as the Remote work stations with your KAUST Credentials
- Binder (small resource and open to the public)
- Remote workstations (you have to request the service the first time you use it here)
Data Science-specific information on Ibex
There are further materials of interest for a Data scientist that is going to use Ibex like the best practices for Deep Learning, Best Practices for Using Conda (+Pip) on Ibex and containers for HPC clusters
We hope this docuwiki page is helpful! Please let us know if you have any questions.
Further useful links
KVL Training on Data Science
- KVL often runs training on Data Science in collaboration with the KSL. Check out our current and past workshops for more: